A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa

Background: There are different uses of data in an organisation. Data are required for reporting purposes, decision-making and providing access to vital facts to enable work processes across business units. Data are central to an organisation’s capacity in anchoring fiscal and strategic plans on val...

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Main Authors: Olutoyin Olaitan, Marlien Herselman, Ntombovuyo Wayi
Format: Article
Language:English
Published: AOSIS 2019-07-01
Series:South African Journal of Information Management
Subjects:
Online Access:https://sajim.co.za/index.php/sajim/article/view/996
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author Olutoyin Olaitan
Marlien Herselman
Ntombovuyo Wayi
author_facet Olutoyin Olaitan
Marlien Herselman
Ntombovuyo Wayi
author_sort Olutoyin Olaitan
collection DOAJ
description Background: There are different uses of data in an organisation. Data are required for reporting purposes, decision-making and providing access to vital facts to enable work processes across business units. Data are central to an organisation’s capacity in anchoring fiscal and strategic plans on valid, accurate and current facts, and are also a vital element in an organisation’s capacity to meet legal, compliance and risk management requirements. To ensure sound decision-making, data must be treated as an asset within organisations, with sound data governance principles entrenched and employed for data handling from inception to deletion. Objectives: This article proposes a Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa. Method: The methodology for this study is Design Science. The Design Science Process Model, was followed in the development, design and demonstration, and evaluation and communication of the data governance framework. A sequential exploratory mixed-method approach was used for data collection and analysis. Results: A conceptual data governance maturity model was proposed for government departments of the Eastern Cape province, South Africa. The model was tested through an exploratory sequential mixed-method approach of data collection and analysis. Data were collected from four departments. Conclusion: The results of the survey confirm the applicability of the model in the set context and reinforced the findings from the literature that maturity models can be used to improve or enhance data governance in public enterprises.
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spelling doaj.art-6f9d85c9787f4e6687fcfbdbb6018a8d2022-12-22T01:11:43ZengAOSISSouth African Journal of Information Management2078-18651560-683X2019-07-01211e1e1210.4102/sajim.v21i1.996620A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South AfricaOlutoyin Olaitan0Marlien Herselman1Ntombovuyo Wayi2Department of Information Systems, University of Fort Hare, AliceMeraka Institute, Centre for Scientific and Industrial Research, PretoriaFaculty of Management and Commerce, University of Fort Hare, AliceBackground: There are different uses of data in an organisation. Data are required for reporting purposes, decision-making and providing access to vital facts to enable work processes across business units. Data are central to an organisation’s capacity in anchoring fiscal and strategic plans on valid, accurate and current facts, and are also a vital element in an organisation’s capacity to meet legal, compliance and risk management requirements. To ensure sound decision-making, data must be treated as an asset within organisations, with sound data governance principles entrenched and employed for data handling from inception to deletion. Objectives: This article proposes a Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa. Method: The methodology for this study is Design Science. The Design Science Process Model, was followed in the development, design and demonstration, and evaluation and communication of the data governance framework. A sequential exploratory mixed-method approach was used for data collection and analysis. Results: A conceptual data governance maturity model was proposed for government departments of the Eastern Cape province, South Africa. The model was tested through an exploratory sequential mixed-method approach of data collection and analysis. Data were collected from four departments. Conclusion: The results of the survey confirm the applicability of the model in the set context and reinforced the findings from the literature that maturity models can be used to improve or enhance data governance in public enterprises.https://sajim.co.za/index.php/sajim/article/view/996Data governancematurity modelsData Governance Maturity Evaluation Modeldata integritygovernment departments.
spellingShingle Olutoyin Olaitan
Marlien Herselman
Ntombovuyo Wayi
A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa
South African Journal of Information Management
Data governance
maturity models
Data Governance Maturity Evaluation Model
data integrity
government departments.
title A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa
title_full A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa
title_fullStr A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa
title_full_unstemmed A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa
title_short A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa
title_sort data governance maturity evaluation model for government departments of the eastern cape province south africa
topic Data governance
maturity models
Data Governance Maturity Evaluation Model
data integrity
government departments.
url https://sajim.co.za/index.php/sajim/article/view/996
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